Multi-upload batch queue + Telegram notifications

Changes:

1. Frontend multi-upload:
   - File input now has 'multiple' attribute, drag-drop accepts multiple
   - File queue list with per-file artist/title preview + remove button
   - 'Pošlji vse' uploads sequentially (one at a time to avoid network saturation)
   - Each file gets same batch_id for Telegram batch summary
   - After upload, queue clears, jobs appear in right sidebar

2. Backend queue worker:
   - New _queue_worker() background thread processes 'queued' jobs sequentially
   - Only 1 job at a time to keep openclaw stable (avoid CPU/RAM thrash)
   - FIFO order by created_at
   - Auto-starts on app startup after job resume

3. Job submission flow change:
   - /api/process and /api/youtube no longer call background.add_task directly
   - Just mark status='queued', queue worker picks up
   - This means upload completes fast, processing happens in background
   - User can close browser, jobs continue

4. Telegram notifications (FOLX Alerts bot):
   - Per-job: 'Reel pripravljen: Lady Gaga - Abracadabra (29s, 30 MB)'
   - Per-job failed: 'Reel ni uspel: <name> + error message'
   - Batch summary: 'Batch končan: 10/10 reels pripravljeni' (only if >1 in batch)
   - Uses existing TELEGRAM_TOKEN + TELEGRAM_CHAT_ID env vars
   - app/telegram.py module with notify_job_done(), notify_job_failed(),
     notify_batch_complete()

5. batch_id field:
   - Added to Job model + StartJobIn pydantic
   - Saved during upload + process
   - Used to count batch progress and trigger summary notification

User experience:
- Drag 20 videos at once
- Click 'Pošlji'
- Close browser, go grab coffee
- Telegram sends 'Reel pripravljen' for each
- After all done: 'Batch končan: 20/20 reels pripravljeni' summary
- Open app to download all
This commit is contained in:
Sebastjan Artič 2026-04-29 15:12:38 +00:00
parent 157e6b781e
commit 91cc03658d
4 changed files with 426 additions and 93 deletions

View File

@ -511,14 +511,62 @@ def process_job(job_id):
output_path=str(output_path),
output_size_mb=round(output_path.stat().st_size / 1024 / 1024, 2),
)
# Telegram obvestilo
try:
from app.telegram import notify_job_done
final_job = load_job(job_id)
notify_job_done(final_job)
except Exception as e:
print(f"⚠️ TG notify_job_done failed: {e}", flush=True)
# Batch tracking — če je zadnji v batchu, pošlji summary
_try_finalize_batch(job_id)
else:
update_job(
job_id,
status="failed",
error="Output datoteka ne obstaja po obdelavi",
)
try:
from app.telegram import notify_job_failed
notify_job_failed(load_job(job_id), "Output datoteka ne obstaja")
except Exception:
pass
_try_finalize_batch(job_id)
except Exception as e:
update_job(job_id, status="failed", error=str(e))
try:
from app.telegram import notify_job_failed
notify_job_failed(load_job(job_id), str(e))
except Exception:
pass
_try_finalize_batch(job_id)
def _try_finalize_batch(job_id):
"""Če je job del batch-a, preveri če so vsi zaključili in pošlji summary."""
try:
job = load_job(job_id)
batch_id = job.get("batch_id")
if not batch_id:
return
# Preštej batch jobe
all_jobs = [load_job(jp.stem) for jp in JOBS_DIR.glob("*.json")]
batch_jobs = [j for j in all_jobs if j and j.get("batch_id") == batch_id]
unfinished = [j for j in batch_jobs if j.get("status") not in ("done", "failed")]
if unfinished:
return # še niso vsi končani
# Vsi so končani — pošlji summary
total = len(batch_jobs)
succeeded = len([j for j in batch_jobs if j.get("status") == "done"])
failed = total - succeeded
try:
from app.telegram import notify_batch_complete
notify_batch_complete(batch_id, total, succeeded, failed)
except Exception as e:
print(f"⚠️ TG batch summary failed: {e}", flush=True)
except Exception as e:
print(f"⚠️ _try_finalize_batch error: {e}", flush=True)
# ────────────────────────────────────────────────────────────────
@ -528,6 +576,77 @@ app = FastAPI(title="Reels Clipper")
app.mount("/static", StaticFiles(directory=Path(__file__).parent.parent / "static"), name="static")
# ────────────────────────────────────────────────────────────────
# Queue worker — procesira queued jobe enega za drugim
# ────────────────────────────────────────────────────────────────
import threading
_queue_lock = threading.Lock()
_queue_running = {"current_job": None} # tracked v dict da je accessible iz threadov
def _queue_worker():
"""Background thread ki preverja queued jobe in jih obdeluje 1 po 1.
Teče forever, sleep 3s med iteracijami če ni dela.
"""
print("🚜 Queue worker zagnan", flush=True)
while True:
try:
# Že nekaj v obdelavi? Počakaj.
if _queue_running["current_job"]:
# Preverim ali je status še processing
cur = load_job(_queue_running["current_job"])
if cur and cur.get("status") in ("processing", "downloading"):
time.sleep(3)
continue
# Ni več v obdelavi → sprosti
_queue_running["current_job"] = None
# Najdi naslednjega "queued" joba (FIFO po created_at)
queued_jobs = []
for f in JOBS_DIR.glob("*.json"):
try:
j = json.loads(f.read_text())
if j.get("status") == "queued":
queued_jobs.append(j)
except Exception:
continue
if not queued_jobs:
time.sleep(3)
continue
queued_jobs.sort(key=lambda x: x.get("created_at", 0))
next_job = queued_jobs[0]
job_id = next_job["id"]
# Mark "processing" + zaženi
with _queue_lock:
_queue_running["current_job"] = job_id
print(f"🚜 Queue worker: obdelujem {job_id}", flush=True)
try:
process_job(job_id)
except Exception as e:
print(f"❌ Queue worker error pri {job_id}: {e}", flush=True)
update_job(job_id, status="failed", error=f"Queue worker: {e}")
finally:
with _queue_lock:
_queue_running["current_job"] = None
except Exception as e:
print(f"❌ Queue worker outer error: {e}", flush=True)
time.sleep(5)
# Zaženi worker v ozadju (samo enkrat)
_worker_thread = None
def _start_queue_worker():
global _worker_thread
if _worker_thread is None or not _worker_thread.is_alive():
_worker_thread = threading.Thread(target=_queue_worker, daemon=True)
_worker_thread.start()
@app.on_event("startup")
async def resume_or_cleanup_jobs():
"""Ob startu containerja: avto-resume processing jobs ali jih označi kot error.
@ -591,6 +710,9 @@ async def resume_or_cleanup_jobs():
print(f" ✅ Resumed: {resumed_count}, Error: {error_count}")
# Zaženi queue worker za queued jobe (multi-upload batch)
_start_queue_worker()
async def _resume_job_async(job_id):
"""Pomožna funkcija ki zažene process_job v background-u."""
@ -651,6 +773,8 @@ class StartJobIn(BaseModel):
llm_model: Optional[str] = None # specifičen model (privzeto najboljši za provider)
# STT provider (Scribe je 18x hitreje + boljša multilingual accuracy)
whisper_provider: str = "auto" # auto / elevenlabs / local
# Batch tracking za multi-upload (Telegram summary)
batch_id: Optional[str] = None
# ────────────────────────────────────────────────────────────────
@ -661,6 +785,7 @@ async def upload_video(
file: UploadFile = File(...),
artist: Optional[str] = Form(None),
title: Optional[str] = Form(None),
batch_id: Optional[str] = Form(None),
user: str = Depends(check_auth),
):
if not file.filename:
@ -692,6 +817,9 @@ async def upload_video(
"updated_at": time.time(),
}
if batch_id:
job["batch_id"] = batch_id
# Artist + title — najprej user-provided, potem parse iz filename
if artist and title:
# User je vpisal ali potrdil
@ -740,7 +868,7 @@ async def submit_youtube(
"quality": payload.quality,
}
save_job(job)
background.add_task(process_job, job_id)
# Queue worker bo pograbil
return job
@ -775,12 +903,14 @@ async def start_processing(
llm_provider=payload.llm_provider,
llm_model=payload.llm_model,
whisper_provider=payload.whisper_provider,
batch_id=payload.batch_id,
current_step="V vrsti za obdelavo",
# Počisti pretekle napake (retry-friendly)
chorus_error=None,
interrupted_at=None,
)
background.add_task(process_job, payload.job_id)
# Queue worker (background thread) bo pograbil ta job — ne zaganjamo neposredno.
# To pomeni, da se ob več upload-ih obdelujejo zaporedno (1 hkrati = stabilno).
return load_job(payload.job_id)

119
app/telegram.py Normal file
View File

@ -0,0 +1,119 @@
"""
telegram.py Telegram bot helper za reels-app.
Pošilja obvestila o končanih jobih, batch summary, napakah.
Credentials se preberejo iz env vars (TELEGRAM_TOKEN, TELEGRAM_CHAT_ID).
"""
import os
import urllib.request
import urllib.parse
import json
def send_message(text, parse_mode="Markdown", disable_notification=False):
"""Pošlji sporočilo na Telegram. Vrne True ob uspehu, False ob napaki.
text: ne sme biti daljši od 4096 znakov.
parse_mode: 'Markdown' ali 'HTML' ali None.
disable_notification: True za tiho obvestilo (brez zvonca).
"""
token = os.environ.get("TELEGRAM_TOKEN")
chat_id = os.environ.get("TELEGRAM_CHAT_ID")
if not token or not chat_id:
return False
# Telegram limit: 4096 chars
if len(text) > 4090:
text = text[:4087] + "..."
data_dict = {
"chat_id": chat_id,
"text": text,
}
if parse_mode:
data_dict["parse_mode"] = parse_mode
if disable_notification:
data_dict["disable_notification"] = "true"
data = urllib.parse.urlencode(data_dict).encode()
req = urllib.request.Request(
f"https://api.telegram.org/bot{token}/sendMessage",
data=data,
method="POST",
)
try:
with urllib.request.urlopen(req, timeout=10) as resp:
result = json.loads(resp.read().decode())
return result.get("ok", False)
except Exception as e:
print(f"⚠️ Telegram send failed: {e}", flush=True)
return False
def notify_job_done(job, base_url="https://reels.biba.live"):
"""Obvesti o končanem reelu."""
artist = job.get("parsed_artist", "")
title = job.get("parsed_title", "")
job_id = job.get("id", "")
if artist and title:
name = f"*{artist}{title}*"
elif title:
name = f"*{title}*"
else:
name = f"`{job_id}`"
duration = job.get("duration", 0)
output_size_mb = job.get("output_size_mb") or round((job.get("output_size", 0) / 1024 / 1024), 1)
text = (
f"✅ Reel pripravljen\n\n"
f"{name}\n"
f"{duration:.0f}s · 📦 {output_size_mb} MB\n\n"
f"[Predogled & Download]({base_url})"
)
return send_message(text)
def notify_job_failed(job, error_msg=""):
"""Obvesti o neuspehu joba."""
artist = job.get("parsed_artist", "")
title = job.get("parsed_title", "")
fname = job.get("filename", "")
if artist and title:
name = f"*{artist}{title}*"
elif fname:
name = f"`{fname}`"
else:
name = f"`{job.get('id', '?')}`"
err_short = (error_msg or "neznana napaka")[:200]
text = f"⚠️ Reel ni uspel\n\n{name}\n\n```\n{err_short}\n```"
return send_message(text)
def notify_batch_complete(batch_id, total, succeeded, failed, base_url="https://reels.biba.live"):
"""Obvesti o končanem batch-u (več jobov hkrati)."""
if total <= 1:
return False # ne pošiljaj batch summary za en sam job
if failed == 0:
emoji = "🎉"
head = f"Batch končan: vsi {total} reelov pripravljeni"
else:
emoji = ""
head = f"Batch končan: {succeeded}/{total} uspelih"
if failed > 0:
head += f", {failed} neuspelih"
text = f"{emoji} {head}\n\n[Vsi reels →]({base_url})"
return send_message(text)
def notify_batch_started(batch_id, total):
"""Obvesti o začetku batch-a (samo če > 1 job)."""
if total <= 1:
return False
text = f"🎬 Batch za {total} datotek dodan v vrsto…"
return send_message(text, disable_notification=True)

View File

@ -1429,31 +1429,59 @@ def main():
clip_range["reason"] += f" (start extended back)"
# Najdi vse segmente ki se začnejo PO trenutnem clip end
# STROŽJA pravila: ne podaljšuj v naslednji refren / verz / instrumental.
# Razširjamo SAMO če zadnji segment se prekriva s clip (klesti iz njega) ALI
# če je naslednji segment KRATEK (< 2s) IN vsebuje samo outro fillerje
# (la la, oh, yeah, ej, ja, ah, na, hey itd.).
# Definiraj outro filler regex (multi-jezikovno)
import re as _re
OUTRO_FILLER_RE = _re.compile(
r'^[\s\-,.!?]*'
r'((?:la|na|oh|ah|eh|ej|aj|ja|hey|yeah|yo|ho|wo|hu|mm|nn|uu|oo|aa|ee|ii)'
r'[\s\-,.!?]*)+'
r'[\s\-,.!?]*$',
_re.IGNORECASE
)
# Hard cap: ne razširjaj več kot 3s nad původne clip end
original_clip_end = clip_range["end"]
soft_extension_limit = min(original_clip_end + 3.0, extension_limit)
for seg in corrected_segs:
seg_start = float(seg.get("start", 0))
seg_end = float(seg.get("end", 0))
# Segment začnemo po trenutnem clip end
seg_text = seg.get("text", "").strip()
# Segment se prekriva s clip end (zadnji segment refrena, ki ni zaključen)
if seg_start <= current_end:
# Segment se prekriva s clip — če konča pred extension_limit, podaljšaj
if seg_end > current_end and seg_end <= extension_limit:
# Podaljšaj clip do konca tega segmenta + 0.3s diha
new_end = min(seg_end + 0.3, extension_limit)
if seg_end > current_end and seg_end <= soft_extension_limit:
new_end = min(seg_end + 0.3, soft_extension_limit)
if new_end > current_end:
print(f" 🎵 Podaljšam clip {current_end:.1f}s → {new_end:.1f}s "
f"(zadnji segment refrena se zaključi)", file=sys.stderr)
current_end = new_end
else:
# Segment je popolnoma za clip end — preverim ali je v dosegu in ali nima dolge pavze pred njim
# Segment začne PO clip end — preveri ali je outro filler
pause = seg_start - current_end
if pause < 1.0 and seg_end <= extension_limit:
# Še vedno povezano s clipom (kratko pavzo, naprej outro/echo)
new_end = min(seg_end + 0.3, extension_limit)
# Predaleč → ustavi se
if pause >= 0.7:
break
# Predolg segment = nov verz/refren, ne dodaj
if (seg_end - seg_start) > 2.5:
break
# Preveri vsebino — če ni samo outro fillerji, NE dodaj
if not OUTRO_FILLER_RE.match(seg_text):
# Ni filler → verjetno nov refren/verz/post-chorus
break
# OK, je outro filler — dodaj
new_end = min(seg_end + 0.2, soft_extension_limit)
if new_end > current_end:
print(f" 🎵 Podaljšam clip {current_end:.1f}s → {new_end:.1f}s "
f"(outro segment z {pause:.1f}s pavzo)", file=sys.stderr)
f"(outro filler '{seg_text[:40]}')", file=sys.stderr)
current_end = new_end
else:
# Daljša pavza — ustavi se tu
break
if current_end > clip_range["end"]:

View File

@ -332,8 +332,8 @@
<polyline points="17 8 12 3 7 8"/>
<line x1="12" y1="3" x2="12" y2="15"/>
</svg>
<div>Klikni ali povleci video sem</div>
<div class="small">.mp4, .mov, .webm, .mxf, .mpg — do 10 GB · <b>Lahko izberete več datotek hkrati</b></div>
<div class="dz-text">Klikni ali povleci video sem</div>
<div class="small dz-hint">.mp4, .mov, .webm, .mxf, .mpg — do 10 GB · <b>Lahko izberete več datotek hkrati</b></div>
<input type="file" id="file-input" accept="video/*,.mxf,.mpg,.mpeg,.ts,.m2ts,.mts" multiple style="display:none">
</div>
<div id="file-queue" class="file-queue"></div>
@ -487,23 +487,23 @@
// ─── Drag & drop ────────────────────────────────
const dz = $("#dropzone");
const fileInput = $("#file-input");
let pendingFile = null;
let pendingArtist = null;
let pendingTitle = null;
let pendingFiles = []; // array namesto single file
dz.addEventListener("click", () => fileInput.click());
fileInput.addEventListener("change", () => {
if (fileInput.files[0]) {
handleFileSelected(fileInput.files[0]);
if (fileInput.files.length > 0) {
addFilesToQueue([...fileInput.files]);
}
fileInput.value = "";
});
["dragover", "dragenter"].forEach(ev =>
dz.addEventListener(ev, e => { e.preventDefault(); dz.classList.add("drag"); }));
["dragleave", "drop"].forEach(ev =>
dz.addEventListener(ev, e => { e.preventDefault(); dz.classList.remove("drag"); }));
dz.addEventListener("drop", e => {
const f = e.dataTransfer.files[0];
if (f) handleFileSelected(f);
if (e.dataTransfer.files.length > 0) {
addFilesToQueue([...e.dataTransfer.files]);
}
});
// Klient-side parser (mora ustrezati backend parse_artist_title)
@ -542,25 +542,59 @@
return [null, null];
}
function handleFileSelected(f) {
function addFilesToQueue(files) {
for (const f of files) {
const [artist, title] = parseArtistTitle(f.name);
pendingFile = f;
pendingArtist = artist;
pendingTitle = title;
if (artist && title) {
// Razvidno iz filename
dz.querySelector("div").innerHTML =
`📹 <b>${pendingArtist} — ${pendingTitle}</b>` +
`<div style="font-size: 11px; color: var(--muted); margin-top: 4px;">${f.name} (${(f.size/1024/1024).toFixed(1)} MB)</div>`;
} else {
// Ni razvidno — pokaži opozorilo, ampak NE blokiraj (server bo poskusil ACR auto-recognize)
dz.querySelector("div").innerHTML =
`📹 ${f.name}` +
`<div style="font-size: 11px; color: var(--warn); margin-top: 4px;">⚠ Iz imena ni razviden izvajalec — server bo poskusil avto-prepoznati pesem (ACRCloud)</div>` +
`<div style="font-size: 11px; color: var(--muted); margin-top: 2px;">${(f.size/1024/1024).toFixed(1)} MB</div>`;
pendingFiles.push({ file: f, artist, title });
}
renderFileQueue();
}
function removeFromQueue(idx) {
pendingFiles.splice(idx, 1);
renderFileQueue();
}
function renderFileQueue() {
const q = $("#file-queue");
if (!q) return;
q.innerHTML = "";
const dzText = dz.querySelector(".dz-text");
const dzHint = dz.querySelector(".dz-hint");
if (pendingFiles.length === 0) {
if (dzText) dzText.textContent = "Klikni ali povleci video sem";
if (dzHint) dzHint.innerHTML = ".mp4, .mov, .webm, .mxf, .mpg — do 10 GB · <b>Lahko izberete več datotek hkrati</b>";
return;
}
if (dzText) dzText.textContent = `📹 ${pendingFiles.length} datotek v vrsti`;
if (dzHint) dzHint.textContent = "Klikni za dodatne ali povleci sem";
pendingFiles.forEach((item, idx) => {
const div = document.createElement("div");
div.className = "file-queue-item";
const sizeMB = (item.file.size / 1024 / 1024).toFixed(1);
let nameHtml;
if (item.artist && item.title) {
nameHtml = `<b>${escapeHtml(item.artist)} — ${escapeHtml(item.title)}</b>` +
`<div style="font-size:10px;color:var(--muted)">${escapeHtml(item.file.name)}</div>`;
} else {
nameHtml = `${escapeHtml(item.file.name)}` +
`<div class="warn">⚠ Brez razvidnega imena — ACR bo poskusil prepoznati</div>`;
}
div.innerHTML = `
<div class="name">${nameHtml}</div>
<div class="size">${sizeMB} MB</div>
<button class="remove" data-idx="${idx}" title="Odstrani">×</button>
`;
q.appendChild(div);
});
q.querySelectorAll(".remove").forEach(btn => {
btn.addEventListener("click", () => removeFromQueue(parseInt(btn.dataset.idx)));
});
}
// ─── Settings collector ─────────────────────────
@ -704,69 +738,95 @@
watchJob(job.id);
refreshJobs();
} else {
if (!pendingFile) {
alert("Izberi datoteko");
if (pendingFiles.length === 0) {
alert("Izberi vsaj eno datoteko");
$("#submit-btn").disabled = false;
return;
}
const fd = new FormData();
fd.append("file", pendingFile);
if (pendingArtist) fd.append("artist", pendingArtist);
if (pendingTitle) fd.append("title", pendingTitle);
showLive("Nalaganje datoteke", `${pendingFile.name} (${(pendingFile.size / 1024 / 1024).toFixed(1)} MB)`, 0);
// Generate batch ID za skupinsko sledenje (Telegram summary)
const batchId = "batch-" + Date.now().toString(36) + "-" + Math.random().toString(36).slice(2, 8);
const totalFiles = pendingFiles.length;
// Upload + queue all files SEQUENTIALLY (1 hkrati za stabilnost)
for (let i = 0; i < pendingFiles.length; i++) {
const item = pendingFiles[i];
const f = item.file;
const sizeMB = (f.size / 1024 / 1024).toFixed(1);
const xhr = new XMLHttpRequest();
xhr.upload.onprogress = e => {
if (e.lengthComputable) {
// Upload je 025% celotnega procesa
const uploadPct = (e.loaded / e.total) * 25;
const mbDone = (e.loaded / 1024 / 1024).toFixed(1);
const mbTotal = (e.total / 1024 / 1024).toFixed(1);
showLive(
"Nalaganje datoteke",
`${mbDone} / ${mbTotal} MB (${((e.loaded / e.total) * 100).toFixed(0)}%)`,
uploadPct
`Nalaganje ${i + 1}/${totalFiles}`,
`${f.name} (${sizeMB} MB)`,
((i / totalFiles) * 100).toFixed(0)
);
}
};
xhr.onload = async () => {
if (xhr.status !== 200) {
liveFail("Upload napaka: " + xhr.responseText);
$("#submit-btn").disabled = false;
return;
}
const job = JSON.parse(xhr.responseText);
showLive("Naloženo, začenjam obdelavo...", `Job ${job.id}`, 28);
const fd = new FormData();
fd.append("file", f);
if (item.artist) fd.append("artist", item.artist);
if (item.title) fd.append("title", item.title);
fd.append("batch_id", batchId);
try {
const proc = await fetch("/api/process", {
const uploadResp = await uploadFileXHR(fd, (loaded, total) => {
const filePct = (loaded / total) * 100;
showLive(
`Nalaganje ${i + 1}/${totalFiles}`,
`${f.name} — ${(loaded/1024/1024).toFixed(1)}/${sizeMB} MB (${filePct.toFixed(0)}%)`,
((i + filePct/100) / totalFiles) * 100
);
});
const job = JSON.parse(uploadResp);
// Pošlji "process" da se postavi v queue
await fetch("/api/process", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ job_id: job.id, ...settings }),
body: JSON.stringify({ job_id: job.id, batch_id: batchId, ...settings }),
});
if (!proc.ok) {
liveFail("Process start napaka: " + await proc.text());
return;
}
watchJob(job.id);
refreshJobs();
} catch (e) {
liveFail("Process napaka: " + e.message);
console.error(`Failed to upload ${f.name}: ${e.message}`);
liveFail(`Napaka pri ${f.name}: ${e.message}`);
// Continue z naslednjimi
}
};
xhr.onerror = () => liveFail("Upload prekinjen — preveri internet povezavo");
xhr.upload.onerror = () => liveFail("Upload napaka pri prenosu");
xhr.open("POST", "/api/upload");
xhr.send(fd);
}
// Vsi naloženi
showLive(
"✅ Vse v vrsti za obdelavo",
`${totalFiles} datotek se obdeluje zaporedno · obvestilo na Telegram`,
100
);
pendingFiles = [];
renderFileQueue();
refreshJobs();
}
} catch (e) {
liveFail(e.message);
} finally {
// Submit button enable tudi če napaka, da lahko ponovno poskusi
setTimeout(() => { $("#submit-btn").disabled = false; }, 500);
}
});
// XHR helper z progress callback (vrne text response)
function uploadFileXHR(formData, onProgress) {
return new Promise((resolve, reject) => {
const xhr = new XMLHttpRequest();
xhr.upload.onprogress = e => {
if (e.lengthComputable && onProgress) {
onProgress(e.loaded, e.total);
}
};
xhr.onload = () => {
if (xhr.status === 200) resolve(xhr.responseText);
else reject(new Error(`HTTP ${xhr.status}: ${xhr.responseText.slice(0, 200)}`));
};
xhr.onerror = () => reject(new Error("Upload error"));
xhr.upload.onerror = () => reject(new Error("Upload transfer error"));
xhr.open("POST", "/api/upload");
xhr.send(formData);
});
}
// ─── Watch job (SSE) ────────────────────────────
function watchJob(jobId) {
const evt = new EventSource(`/api/stream/${jobId}`);
@ -786,10 +846,6 @@
if (job.status === "done") {
liveDone(jobId);
$("#submit-btn").disabled = false;
// Reset upload form
pendingFile = null;
fileInput.value = "";
dz.querySelector("div").textContent = "Klikni ali povleci video sem";
} else if (job.status === "failed") {
liveFail(job.error || "Obdelava ni uspela");
$("#submit-btn").disabled = false;